Better supporting workers in ML workplaces

Michael F. Clarke, Joseph Gonzales, David Randall, Thomas Ludwig, Richard Harper, Nozomi Ikeya

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This workshop is aimed at bringing together a multidisciplinary group to discuss Machine Learning and its application in the workplace as a practical, everyday work matter. It's our hope this is a step toward helping us design better technology and user experiences to support the accomplishment of that work, while paying attention to workplace context. Despite advancement and investment in Machine Learning (ML) business applications, understanding workers in these work contexts have received little attention. As this category experiences dramatic growth, it's important to better understand the role that workers play, both individually and collaboratively, in a workplace where the output of prediction and machine learning is becoming pervasive. There is a closing window of opportunity to investigate this topic as it proceeds toward ubiquity. CSCW and HCI offer concepts, tools and methodologies to better understand and build for this future.

本文言語English
ホスト出版物のタイトルCSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
出版社Association for Computing Machinery
ページ443-448
ページ数6
ISBN(電子版)9781450366922
DOI
出版ステータスPublished - 2019 11 9
イベント22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019 - Austin, United States
継続期間: 2019 11 92019 11 13

出版物シリーズ

名前Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
国/地域United States
CityAustin
Period19/11/919/11/13

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用

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引用スタイル